A portfolio of my data science and machine learning projects.
This is a sample end-to-end data-science/machine-learning project to illustrate the basic concepts using a real-world dataset, including data exploration, preprocessing, and model training, selection and fine-tuning. It was inspired by Chapter 2 of Hands-On Machine Learning with Scikit-Learn, Keras and Tensorflow, 2nd Edition, by Aurélien Géron (O'Reilly).